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luciancotolan
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examples
Browse files- app.py +1 -1
- fragment_S2A_MSIL2A_20220722T092041_N0400_R093_T34TFR_20220722T134859_4_42.jpg β fragment_2.jpg +0 -0
- fragment_S2A_MSIL2A_20220722T092041_N0400_R093_T34TFR_20220722T134859_5_39.jpg β fragment_3.jpg +0 -0
- fragment_S2A_MSIL2A_20220722T092041_N0400_R093_T34TFR_20220722T134859_10_14.jpg β fragment_4.jpg +0 -0
app.py
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@@ -13,7 +13,7 @@ def predict(img):
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title = "Satellite Image Deforestation Classifier"
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description = "A deep learning model based on ResNet50 that can classify satellite images into two categories - deforestation (a deforestation event occured in the image) or not_deforestation."
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article="<p style='text-align: center'><a href='https://github.com/LucianCotolan/sas-image-deforestification' target='_blank'>Project Github Repository</a></p>"
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examples = ['fragment_1.jpg']
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interpretation='default'
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enable_queue=True
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title = "Satellite Image Deforestation Classifier"
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description = "A deep learning model based on ResNet50 that can classify satellite images into two categories - deforestation (a deforestation event occured in the image) or not_deforestation."
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article="<p style='text-align: center'><a href='https://github.com/LucianCotolan/sas-image-deforestification' target='_blank'>Project Github Repository</a></p>"
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examples = ['fragment_1.jpg', 'fragment_2.jpg', 'fragment_3.jpg', 'fragment_4.jpg']
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interpretation='default'
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enable_queue=True
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fragment_S2A_MSIL2A_20220722T092041_N0400_R093_T34TFR_20220722T134859_4_42.jpg β fragment_2.jpg
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fragment_S2A_MSIL2A_20220722T092041_N0400_R093_T34TFR_20220722T134859_5_39.jpg β fragment_3.jpg
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fragment_S2A_MSIL2A_20220722T092041_N0400_R093_T34TFR_20220722T134859_10_14.jpg β fragment_4.jpg
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